Work type:Fixed term - Full-time
Categories:Faculty of Engineering, Computer & Mathematical Sciences, Level A
(Level A) $88,286 per annum plus an employer contribution of up to 17% superannuation may apply.
The University of Adelaide Enterprise Agreement 2017-2021 will apply to a successful candidate’s employment at the University. The University recently temporarily varied its Enterprise Agreement. Please be advised that the salary range, along with other conditions associated with this position, may change in accordance with the variation to the Enterprise Agreement.
This is a fixed-term position available for up to 3 years.
Empower predictions of coherently moving structures and their interactions.
Many systems in nature are driven by time-varying inputs; prototypical examples being pollutants, heat energy, hurricanes and oceanic eddies being moved according to prevalent velocities. There are often coherently moving regions which have dominant influence in transport, e.g., the Gulf Stream, Jupiter's Great Red Spot, the Antarctic Circumpolar Vortex, or unmixed fluid blobs within an industrial mixer. Using velocity data to understand the motion of these fundamental entities is now well established; however, ascribing uncertainties to such predictions is less so.
We are seeking a Postdoctoral Researcher to drive new theoretical and computational analysis for uncertainty quantification in such situations, funded by the Australian Research Council for the project "Uncertainty in coherent transport of particles and intrinsic properties" awarded to Sanjeeva Balasuriya. The successful candidate will develop new computational methods in dealing with experimental and observational velocity data, as well as contribute to advances in the theory of coherent structure detection.
This work will also be in collaboration with Nick Ouellette's group at Stanford University, and may include visits to Stanford. Other domestic and international travel opportunities for research visits and conferences are available.
To be successful you will need:
- A recent PhD in applied mathematics, mechanical engineering, physics, or allied area related to this project.
- Strong computational skills, with demonstrated ability to code as well as deal with large data sets.
- Demonstrated expertise in at least one of the areas of dynamical systems, fluid mechanics or stochastic analysis.
- A record of research achievements.
- Commitment to the principles of equity, diversity and inclusion.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity. We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.
The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged. To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:
- A variety of flexible working arrangements
- Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work-related travel
- Research support schemes designed to support female academics to enhance and promote their career
- Childcare facilities
- Women’s professional development network opportunities
In addition, we offer salary packaging; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role
The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning - and high-level mathematics. Many of its academic staff are world leaders in their fields, and graduates are highly regarded by employers.
We proudly support gender and cultural diversity and are passionate about creating a more vibrant and enriching community of staff and students.
Learn more at: ecms.adelaide.edu.au
If you want to change tomorrow, act today
Click the link to the online application form below and address and upload your responses to all selection criteria. Application close 11:55pm, 11 October 2020.
For further information
For a confidential discussion regarding this position, contact:
School of Mathematical Sciences
P: +61 (8) 8313 3026
You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)
The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.
Download the Position Description Apply now
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